Demographics details for Lilliwaup, WA vs Baltimore, MD

Population Overview

Compare main population characteristics in Lilliwaup, WA vs Baltimore, MD.

Data Lilliwaup Baltimore
Population 120 569,931
Median Age 42.0 years 36.0 years
Median Income $65,000 $58,349
Married Families 50.0% 23.0%
Poverty Level 5% 16%
Unemployment Rate 3.0 4.3

Population Comparison: Lilliwaup vs Baltimore

  • The population in Baltimore is higher at 569,931, compared to 120 in Lilliwaup.
  • Residents in Lilliwaup have a higher median age of 42.0 years compared to 36.0 years in Baltimore.
  • Lilliwaup has a higher median income of $65,000 compared to $58,349 in Baltimore.
  • A higher percentage of married families is found in Lilliwaup at 50.0% compared to 23.0% in Baltimore.
  • The poverty level is higher in Baltimore at 16%, compared to 5% in Lilliwaup.
  • Baltimore has a higher unemployment rate at 4.3% compared to 3.0% in Lilliwaup.

Demographics

Demographics Lilliwaup vs Baltimore provide insight into the diversity of the communities to compare.

Demographic Lilliwaup Baltimore
Black Data is updating 63
White 90 23
Asian 5 3
Hispanic 3 6
Two or More Races 2 5
American Indian Data is updating Data is updating

Demographics Comparison: Lilliwaup vs Baltimore

  • In Baltimore, the percentage of Black residents is higher at 63% compared to 0% in Lilliwaup.
  • Lilliwaup has a higher percentage of White residents at 90% compared to 23% in Baltimore.
  • The Asian population is larger in Lilliwaup at 5% compared to 3% in Baltimore.
  • Baltimore has a higher percentage of Hispanic residents at 6%, compared to 3% in Lilliwaup.
  • The percentage of residents identifying as two or more races is higher in Baltimore at 5%, compared to 2% in Lilliwaup.
  • The percentage of American Indian residents is the same in both Lilliwaup and Baltimore at 0%.

Health Statistics

The health statistics provide insights into prevalent health conditions in two communities.

Health Metric Lilliwaup Baltimore
Mental Health Not Good Data is updating% 17.9%
Physical Health Not Good Data is updating% 12.3%
Depression Data is updating% 20.2%
Smoking Data is updating% 19.8%
Binge Drinking Data is updating% 15.4%
Obesity Data is updating% 37.1%
Disability Percentage Data is updating% 16.0%

Health Statistics Comparison: Lilliwaup vs Baltimore

  • In Baltimore, a higher percentage report poor mental health at 17.9% compared to 0.0% in Lilliwaup.
  • Higher depression rates are seen in Baltimore at 20.2% versus 0.0% in Lilliwaup.
  • Baltimore has a higher smoking rate at 19.8% compared to 0.0% in Lilliwaup.
  • More residents engage in binge drinking in Baltimore at 15.4% compared to 0.0% in Lilliwaup.
  • Baltimore has higher obesity rates at 37.1% compared to 0.0% in Lilliwaup.
  • There is a higher percentage of disabled individuals in Baltimore at 16.0% compared to 0.0% in Lilliwaup.

Education Levels

The educational attainment in the area helps gauge the workforce's skill level and economic potential.

Education Level Lilliwaup Baltimore
No Schooling 0.0% (Data is updating) 1.2% (6,683)
High School Diploma 0.0% (Data is updating) 16.8% (95,744)
Less than High School 0.0% (Data is updating) 11.9% (67,970)
Bachelor's Degree and Higher 0.0% (Data is updating) 25.1% (143,174)

Education Levels Comparison: Lilliwaup vs Baltimore

  • In Baltimore, a larger percentage of residents lack formal schooling at 1.2% compared to 0.0% in Lilliwaup.
  • In Baltimore, the rate of residents with high school diplomas is higher at 16.8% compared to 0.0% in Lilliwaup.
  • The percentage of residents with less than a high school education is higher in Baltimore at 11.9%, compared to 0.0% in Lilliwaup.
  • In Baltimore, a larger share of residents have a bachelor's degree or higher at 25.1% compared to 0.0% in Lilliwaup.

Crime and Safety

Understanding crime rates and safety measures is crucial for assessing the livability of a city or town. Crime levels can vary significantly from one neighborhood to another, influenced by various factors such as population density and local amenities. For instance, areas with high foot traffic, like train stations, might experience different crime dynamics compared to quieter residential neighborhoods. Evaluating these patterns helps in making informed decisions about safety and community well-being.